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    Home»Equipment»Nearly half of all code generated by AI found to contain security flaws – even big LLMs affected
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    Nearly half of all code generated by AI found to contain security flaws – even big LLMs affected

    spicycreatortips_18q76aBy spicycreatortips_18q76aAugust 1, 2025No Comments2 Mins Read
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    • Report finds 45% of AI-generated code had safety flaws
    • Java is the worst offender, Python, C# and JavaScript additionally affected
    • Rise in vibe coding may make these threats even worse

    Almost half (45%) of AI-generated code incorporates safety flaws regardless of showing production-ready, new analysis from Veracode has discovered.

    Its examine of greater than 100 giant language fashions throughout 80 totally different coding duties revealed no enchancment in safety throughout newer or bigger fashions – an alarming actuality for corporations that depend on AI instruments to again up, and even exchange, human productiveness.

    Java was discovered to be the worst affected, with 70%+ failure price, however Python, C# and JavaScript additionally had failure charges of 38-45%.


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    AI-generated code is not so safe in any case

    The information comes as increasingly more builders depend on generative AI to assist them get code written – as a lot as a 3rd of latest Google and Microsoft code may now be AI-generated.

    “The rise of vibe coding, the place builders depend on AI to generate code, sometimes with out explicitly defining safety necessities, represents a elementary shift in how software program is constructed,” Veracode CTO Jens Wessling defined.

    Veracode discovered LLMs usually selected insecure strategies of coding 45% of the time, failing to defend in opposition to cross-site scripting (86%) and log injection (88%).

    “Our analysis reveals fashions are getting higher at coding precisely however will not be bettering at safety,” Wessling added.

    Signal as much as the TechRadar Professional publication to get all the highest information, opinion, options and steering your enterprise must succeed!

    Vulnerabilities are additionally amplified within the fashionable period of AI – synthetic intelligence permits attackers to use them sooner and at scale.

    Veracode suggests builders allow safety checks in AI-driven workflows to implement compliance and safety. Firms also needs to undertake AI remediation steering to coach builders, deploy firewalls and use instruments that assist assist detect flaws earlier.

    “AI coding assistants and agentic workflows symbolize the way forward for software program improvement… Safety can’t be an afterthought if we wish to stop the buildup of large safety debt,” Wessling concluded.

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    Affected big code flaws generated LLMs Security
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